Integrating a Career Planning and Development Program into the Baccalaureate Nursing Curriculum. Part II. Outcomes for New Graduate Nurses 12 Months Post-Graduation
Bibliographic record
Abstract
New graduate nurses' (NGNs) transition into the nursing workforce is characterized as stressful and challenging. Consequently, a high percentage of them leave their first place of employment or the profession entirely within one year of graduation. Nursing literature describes this complicated shift from student to registered nurse, however, limited attention has focused on strategies that could be implemented during students' academic programs to prepare them for this difficult transition period. Therefore, a longitudinal intervention study was conducted to examine the influence of a career planning and development (CPD) program on the development of career resilience in baccalaureate nursing students and at 12 months post-graduation (NGN). The findings support including structured and progressive curriculum-based CPD opportunities in academic programs, not only for the positive outcomes that accrue to students, but also because of the benefits they extend to NGNs as they make the transition to their first professional nursing role.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".